A Study on Performance Evaluation of Peer-to-Peer Distributed Databases

Amalarethinam, D. I. George

doi:10.9790/3021-020511681176

Cited by 9 publications

(12 citation statements)

References 21 publications

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“…12 The environments are the Amazon cloud environment and the simulated environment. 12 The environments are the Amazon cloud environment and the simulated environment.…”

Section: Discussion On Performance Evaluationmentioning

confidence: 99%

“…The proposed CB-DDBS is tested in two environments against the Chord and FlexiPeer architectures. 12 The environments are the Amazon cloud environment and the simulated environment. Experimental results show that the proposed CB-DDBS architecture results in a significant reduction of the execution time needed for the transactions to reach the data on an appropriate site.…”

Section: Discussion On Performance Evaluationmentioning

confidence: 99%

“…12 It is the simplest way to cluster the DDBS sites into disjoint clusters. In the first approach, the DDBS sites are clustered based on the regional fields.…”

Section: Clustering Distributed Database Sites Modulementioning

confidence: 99%

“…In the first approach, the DDBS sites are clustered based on the regional fields. 12 It is the simplest way to cluster the DDBS sites into disjoint clusters. It works in this way; the sites in the same region belong to the same cluster.…”

Section: Clustering Distributed Database Sites Modulementioning

confidence: 99%

“…The last experiment is used to measure the performance of the proposed CB-DDBS architecture to process the client queries against the Chord and FlexiPeer architectures 12. The last experiment is used to measure the performance of the proposed CB-DDBS architecture to process the client queries against the Chord and FlexiPeer architectures 12.…”

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confidence: 99%

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Dynamic data reallocation and replication over a cloud environment

Raouf

Badr

Tolba

2018

Concurrency and Computation

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The performance and efficiency of the distributed database system (DDBS) design are dependent on proper data fragmentation, reallocation, and replication of global relations. In this research, a Cluster Based Distributed and Parallel Database System (CB-DDBS) architecture over a cloud environment is proposed. The proposed CB-DDBS architecture processes the client's query requests, which access the clustered DDBS from anywhere. It also allows vertical and horizontal fragmentation, allocation, and replication decisions to be taken statically at the initial stage of the design. In addition, it allows migration and/or replication decisions to be taken by each cluster independently of other clusters using the proposed Optimal Fragment Reallocation and Replication (OFRAR) Algorithm. The proposed CB-DDBS architecture and the proposed OFRAR Algorithm are tested in both Amazon cloud environment and a simulated environment. Experimental results show that the proposed OFRAR Algorithm efficiently reduces the communication costs for typical access patterns, the overloads of the sites, and the frequency and time spent on fragment migration over the network sites by imposing a stricter condition for fragment reallocation and replication, resulting in a great overall improvement in the DDBS performance. It also shows that the proposed CB-DDBS architecture results in a significant reduction of the execution time needed for the transactions and for noticing an error.

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“…12 The environments are the Amazon cloud environment and the simulated environment. 12 The environments are the Amazon cloud environment and the simulated environment.…”

Section: Discussion On Performance Evaluationmentioning

confidence: 99%

Section: Discussion On Performance Evaluationmentioning

confidence: 99%

“…12 It is the simplest way to cluster the DDBS sites into disjoint clusters. In the first approach, the DDBS sites are clustered based on the regional fields.…”

Section: Clustering Distributed Database Sites Modulementioning

confidence: 99%

Section: Clustering Distributed Database Sites Modulementioning

confidence: 99%

mentioning

confidence: 99%

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